Analysis and prediction of surface topography characteristics and influence factors of tool passive vibration in milling process

Abstract

Abstract The surface topography of the processed workpiece has a significant impact on its service performance, and the tool undergoes passive vibration due to the influence of milling forces during the machining process. This article focuses on the influence of milling parameters and tool passive vibration on the formation process of surface topography. Firstly, the forming mechanism of surface topography during passive vibration of cutting tools was studied, and a cutting edge motion trajectory model considering milling parameters and passive vibration of cutting tools was established; And the influence of milling parameters on surface topography with and without tool passive vibration was analyzed through experiments and simulations; A prediction model for the maximum height S z and areal arithmetic mean height S a of surface topography was established using least squares support vector machine (LSSVM). We used the Improved Particle Swarm Optimization (PSO) algorithm to search for optimal solutions for kernel width coefficients and regularization parameters in LSSVM, and wrote a program to improve the PSO-LSSVM prediction model. The results indicate that the proposed prediction model can provide a certain basis for the selection of actual milling experimental parameters.